def new_note_track(env, synth): """ Audio track with the frequencies. Parameters ---------- env: Envelope Stream (which imposes the duration). synth: One-argument function that receives a frequency (in rad/sample) and returns a Stream instance (a synthesized note). Returns ------- Endless Stream instance that joins synthesized notes. """ list_env = list(env) return chain.from_iterable(synth(freq) * list_env for freq in freq_gen())
remain -= gain return out # # Audio mixture # tracks = 3 # besides unpitched track dur_note = 120 * ms dur_perc = 100 * ms smix = Streamix() # Pitched tracks based on a 1:2 triangular wave table = TableLookup(line(100, -1, 1).append(line(200, 1, -1)).take(inf)) for track in xrange(tracks): env = adsr(dur_note, a=20 * ms, d=10 * ms, s=.8, r=30 * ms) / 1.7 / tracks smix.add(0, geometric_delay(new_note_track(env, table), 80 * ms, 2)) # Unpitched tracks pfuncs = [unpitched_low] * 4 + [unpitched_high] snd = chain.from_iterable( choice(pfuncs)(dur_perc, randint(0, 1)) for unused in zeros()) smix.add(0, geometric_delay(snd * (1 - 1 / 1.7), 20 * ms, 1)) # # Finishes (save in a wave file) # data = lowpass(5000 * Hz)(smix).limit(180 * s) fname = "audiolazy_save_and_memoize_synth.wav" save_to_16bit_wave_file(fname, data, rate)
remain -= gain return out # # Audio mixture # tracks = 3 # besides unpitched track dur_note = 120 * ms dur_perc = 100 * ms smix = Streamix() # Pitched tracks based on a 1:2 triangular wave table = TableLookup(line(100, -1, 1).append(line(200, 1, -1)).take(inf)) for track in xrange(tracks): env = adsr(dur_note, a=20 * ms, d=10 * ms, s=0.8, r=30 * ms) / 1.7 / tracks smix.add(0, geometric_delay(new_note_track(env, table), 80 * ms, 2)) # Unpitched tracks pfuncs = [unpitched_low] * 4 + [unpitched_high] snd = chain.from_iterable(choice(pfuncs)(dur_perc, randint(0, 1)) for unused in zeros()) smix.add(0, geometric_delay(snd * (1 - 1 / 1.7), 20 * ms, 1)) # # Finishes (save in a wave file) # data = lowpass(5000 * Hz)(smix).limit(180 * s) fname = "audiolazy_save_and_memoize_synth.wav" save_to_16bit_wave_file(fname, data, rate)
beat_duration = 60. / beat * s # In samples dur = beat_duration / notes_per_beat # Per note smix = Streamix() # That's our sound mixture env = adsr(dur, a=40*ms, d=35*ms, s=.6, r=70*ms).take(inf) # Envelope # Effects used def distortion(sig, multiplier=18): return atan(multiplier * sig) * (2 / pi) # Intro count synth filt = (1 - z ** -2) * .5 if starting_beats > 0: inoisy_stream = filt(gauss_noise()) * env inoisy_thub = thub(inoisy_stream.append(0).limit(beat_duration), starting_beats) inoisy = chain.from_iterable(repeat(inoisy_thub).limit(starting_beats)) smix.add(.1 * s, inoisy) smix.add(starting_beats * beat_duration - dur, []) # Event timing # Wavetable lookup initialization square_table = TableLookup([1] * 256 + [-1] * 256) harmonics = dict(enumerate([1, 3, 2, 1, .3, .1, .7, .9, 1, 1, .5, .4, .2], 1)) table = sin_table.harmonize(harmonics).normalize() mem_table = (3 * saw_table + (sin_table - saw_table) ** 3).normalize() # Notes synth midi_tuning = str2midi([gs.tune for gs in guitar]) midi_pitches = [midi_tuning[string_idx] + fret for string_idx, fret in notes] for freq in midi2freq(midi_pitches): ks_memory = .1 * gauss_noise() + .9 * mem_table(freq * Hz) ks_snd = distortion(karplus_strong(freq * Hz,
smix = Streamix() # That's our sound mixture env = adsr(dur, a=40 * ms, d=35 * ms, s=.6, r=70 * ms).take(inf) # Envelope # Effects used def distortion(sig, multiplier=18): return atan(multiplier * sig) * (2 / pi) # Intro count synth filt = (1 - z**-2) * .5 if starting_beats > 0: inoisy_stream = filt(gauss_noise()) * env inoisy_thub = thub( inoisy_stream.append(0).limit(beat_duration), starting_beats) inoisy = chain.from_iterable(repeat(inoisy_thub).limit(starting_beats)) smix.add(.1 * s, inoisy) smix.add(starting_beats * beat_duration - dur, []) # Event timing # Wavetable lookup initialization square_table = TableLookup([1] * 256 + [-1] * 256) harmonics = dict(enumerate([1, 3, 2, 1, .3, .1, .7, .9, 1, 1, .5, .4, .2], 1)) table = sin_table.harmonize(harmonics).normalize() mem_table = (3 * saw_table + (sin_table - saw_table)**3).normalize() # Notes synth midi_tuning = str2midi([gs.tune for gs in guitar]) midi_pitches = [midi_tuning[string_idx] + fret for string_idx, fret in notes] for freq in midi2freq(midi_pitches): ks_memory = .1 * gauss_noise() + .9 * mem_table(freq * Hz) ks_snd = distortion(karplus_strong(freq * Hz, tau=.2 * s,